Výsledky vyhledávání - "Beaver, Justin"

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AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors

Autor: Bridges, Robert A., Weber, Brian, Beaver, Justin M., Smith, Jared M., Verma, Miki E., Norem, Savannah, Spakes, Kevin, Watson, Cory, Nichols, Jeff A., Jewell, Brian, Iannacone, Michael. D., Stahl, Chelsey Dunivan, Huffer, Kelly M. T., Oesch, T. Sean

This work presents an evaluation of six prominent commercial endpoint malware detectors, a network malware detector, and a file-conviction algorithm from a cyber technology vendor. The evaluation was administered as the first of the Artificial Intell

Externí odkaz: http://arxiv.org/abs/2308.14835

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Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection

Autor: Bridges, Robert A., Oesch, Sean, Verma, Miki E., Iannacone, Michael D., Huffer, Kelly M. T., Jewell, Brian, Nichols, Jeff A., Weber, Brian, Beaver, Justin M., Smith, Jared M., Scofield, Daniel, Miles, Craig, Plummer, Thomas, Daniell, Mark, Tall, Anne M.

Publikováno v: Digital Threats: Research and Practice 2023

In this paper, we present a scientific evaluation of four prominent malware detection tools to assist an organization with two primary questions: To what extent do ML-based tools accurately classify previously- and never-before-seen files? Is it wort

Externí odkaz: http://arxiv.org/abs/2012.09214

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An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center

Autor: Oesch, Sean, Bridges, Robert, Smith, Jared, Beaver, Justin, Goodall, John, Huffer, Kelly, Miles, Craig, Scofield, Dan

Gartner, a large research and advisory company, anticipates that by 2024 80% of security operation centers (SOCs) will use machine learning (ML) based solutions to enhance their operations. In light of such widespread adoption, it is vital for the re

Externí odkaz: http://arxiv.org/abs/2012.09013

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How do information security workers use host data? A summary of interviews with security analysts

Autor: Bridges, Robert A., Iannacone, Michael D., Goodall, John R., Beaver, Justin M.

Modern security operations centers (SOCs) employ a variety of tools for intrusion detection, prevention, and widespread log aggregation and analysis. While research efforts are quickly proposing novel algorithms and technologies for cyber security, a

Externí odkaz: http://arxiv.org/abs/1812.02867

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